Equipment Intelligent Operation and Maintenance: Proceedings of the First International Conference on Equipment Intelligent Operation and Maintenance
暫譯: 設備智能運行與維護：第一屆設備智能運行與維護國際會議論文集
Yan, Ruqiang, Lin, Jing
- 出版商: CRC
- 出版日期: 2025-03-07
- 售價: $8,770
- 貴賓價: 9.5 折 $8,332
- 語言: 英文
- 頁數: 842
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1032746114
- ISBN-13: 9781032746111
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相關主題
商品描述
The proceedings of the First International Conference on Equipment Intelligent Operation and Maintenance (ICEIOM 2023) offer invaluable insights into the processes that ensure safe and reliable operation of equipment and guarantee the improvement of product life cycles.
The book touches upon a wide array of topics including equipment condition monitoring, fault diagnosis, and remaining useful life prediction. With special emphasis on the integration of big data and machine learning, the papers contained in this publication highlight how these technologies make the equipment operation process highly automated and ingenious. Intelligent operation and maintenance is set to act as the driving force behind a new generation of smart manufacturing and equipment upgradation, and promote demand for intelligent product services and management.
This is a highly beneficial guide to students, researchers, working professionals and enthusiasts who wish to stay updated on innovative research contributions and practical applications of state-of-the-art technologies in equipment operation and maintenance.
商品描述(中文翻譯)
第一屆國際設備智能運行與維護會議（ICEIOM 2023）的會議紀錄提供了對確保設備安全可靠運行及改善產品生命週期過程的寶貴見解。
本書涵蓋了廣泛的主題，包括設備狀態監測、故障診斷和剩餘使用壽命預測。特別強調大數據與機器學習的整合，這些論文突顯了這些技術如何使設備運行過程高度自動化且巧妙。智能運行與維護將成為新一代智能製造和設備升級的推動力，並促進對智能產品服務和管理的需求。
這本書對於希望了解設備運行與維護中最先進技術的創新研究貢獻和實際應用的學生、研究人員、專業人士和愛好者來說，是一本非常有益的指南。
作者簡介
Ruqiang Yan is a Full Professor at the School of Mechanical Engineering, Xi'an Jiaotong University, China. He is engaged in research on theoretical methods and engineering applications related to intelligent operation and maintenance of high-end equipment. Dr. Yan is a Fellow of IEEE (2022) and ASME (2019). He has led the development of one IEEE standard and published over one hundred papers in IEEE and ASME journals, and other publications. Currently, he serves as an IEEE Instrumentation and Measurement Society Distinguished Lecturer and is the Editor-in-Chief of the IEEE Transactions on Instrumentation and Measurement.
Jing Lin is a professor and Dean of the School of Reliability and Systems Engineering of Beihang University. He is a distinguished professor of the Chang Jiang Scholars Program and an awardee of the National Science Fund for Distinguished Young Scholars. Prof. Lin received his doctor's degree from Xi'an Jiaotong University in 1999. His research interests include machinery dynamic testing and fault diagnosis and industrial big data. Prof. Lin has published over 100 papers in journals, and won a second prize of the State Natural Science Award in 2013. His research has been applied to the fields of energy and power, petrochemistry, equipment manufacturing, rail transit, architecture, biology, electrical engineering and oceanography.
作者簡介(中文翻譯)
顏如強是中國西安交通大學機械工程學院的全職教授。他從事與高端設備智能運行和維護相關的理論方法及工程應用研究。顏博士是IEEE（2022年）和ASME（2019年）的會士。他主導制定了一項IEEE標準，並在IEEE和ASME期刊及其他出版物上發表了超過一百篇論文。目前，他擔任IEEE儀器與測量學會的特聘講師，並且是《IEEE儀器與測量學報》的主編。
林靜是北京航空航天大學可靠性與系統工程學院的教授及院長。他是長江學者特聘教授，並獲得國家優秀青年科學基金的獎項。林教授於1999年獲得西安交通大學的博士學位。他的研究興趣包括機械動態測試、故障診斷及工業大數據。林教授在期刊上發表了超過100篇論文，並於2013年獲得國家自然科學獎的二等獎。他的研究已應用於能源與電力、石油化工、設備製造、軌道交通、建築、生物學、電氣工程及海洋學等領域。
